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AWS Machine Learning

Announcing new ways to customize models with SageMaker AI, without managing GPUs

· 1 min read · Summary from AWS Machine Learning

Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU allocation, distributed execution, fault recovery, and checkpoint storage.

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